MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2023
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866911780983275520 |
|---|---|
| author | Ma, Mingyu Derek Taylor, Alexander K. Wen, Nuan Liu, Yanchen Kung, Po-Nien Qin, Wenna Wen, Shicheng Zhou, Azure Yang, Diyi Ma, Xuezhe Peng, Nanyun Wang, Wei |
| author_facet | Ma, Mingyu Derek Taylor, Alexander K. Wen, Nuan Liu, Yanchen Kung, Po-Nien Qin, Wenna Wen, Shicheng Zhou, Azure Yang, Diyi Ma, Xuezhe Peng, Nanyun Wang, Wei |
| contents | We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights, including user/community susceptibility level, as well as events and popular opinions raised by the crowd while propagating the information. Besides discovering information flow patterns among users, we construct communities among users and develop the propagation forecasting capability, enabling tracing and understanding of how information is disseminated at a higher level. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_02529 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways Ma, Mingyu Derek Taylor, Alexander K. Wen, Nuan Liu, Yanchen Kung, Po-Nien Qin, Wenna Wen, Shicheng Zhou, Azure Yang, Diyi Ma, Xuezhe Peng, Nanyun Wang, Wei Social and Information Networks Artificial Intelligence Human-Computer Interaction We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights, including user/community susceptibility level, as well as events and popular opinions raised by the crowd while propagating the information. Besides discovering information flow patterns among users, we construct communities among users and develop the propagation forecasting capability, enabling tracing and understanding of how information is disseminated at a higher level. |
| title | MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways |
| topic | Social and Information Networks Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2310.02529 |